华大集团｜生信实习生-临床感染大数据转化应用 (Bioinformatics Intern-Clinical Infection Big Data Transformation and Application)(J26705)

1.学习内容将包括以下：Linux/Perl/数据质控/基因组组装/比对/进化/SNP分析/耐药预测/毒力基因分析/分子分型/PCA分析/统计学基本原理。 2.基于全基因组和宏基因组技术对临床感染组学数据进行挖掘和解读，并开发基于高精度测序平台的病原相关检测技术，为临床快速病原体检测提供基础； 3.参与CNNS系列文章调研，撰写和投稿。 1. The learning content will include the following: /Linux/Perl/Data Quality Control/Genome Assembly/Alignment/Evolution/SNP Analysis/Antibiotic Resistance Prediction/Virulence Gene Analysis/Molecular Typing/PCA Analysis/Basic Principles of Statistics. 2. Mine and interpret clinical infectious omics data based on whole-genome and metagenomic technologies, and develop pathogen-related detection technologies based on high-precision sequencing platforms to provide a basis for rapid clinical pathogen detection; 3. Participate in the research, writing, and submission of CNNS series articles.

1. 对病原微生物，分子进化和生态群落等研究感兴趣，自主学习能力强； 2. 有较强的计算机编程、基因组学或生物信息学基础； 3. 具有良好的文献调研和阅读能力，逻辑性好，可独立围绕一个主题调研形成总结或综述； 4. 英语优秀者和有项目经验者优先。 1. Interested in research on pathogenic microorganisms, molecular evolution, and ecological communities, with strong self-learning ability; 2. Has a strong foundation in computer programming, genomics, or bioinformatics; 3. Possesses good skills in literature research and reading, with strong logic, and can independently conduct research on a topic to form summaries or reviews; 4. Preference for those with excellent English skills and project experience.